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Glama

spec_validate

Validate a spec

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

D1.8/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full responsibility for behavioral disclosure. It merely says 'Validate a spec' without stating side effects, return values, error handling, or whether the operation is read-only. This provides essentially no behavioral transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, but extreme brevity here results in under-specification rather than effective conciseness. It does not provide enough information to be actionable, so the structure earns a low score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of a nested object parameter, no output schema, and no annotations, the description is severely incomplete. A validation tool should explain what constitutes a valid spec, what checks are performed, and what the agent should expect as a result, none of which is mentioned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero description coverage for the single 'spec' parameter, and the description adds no information about what the spec object should contain or how it is validated. The description fails to compensate for the schema's lack of detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the verb 'validate' and the resource 'a spec', which distinguishes it from the sibling tool 'spec_convert' that converts specs. However, 'spec' is vague and does not specify what kind of spec or what validation entails, making the purpose only partially clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus the alternative 'spec_convert'. There is no mention of contexts, prerequisites, or exclusions, so the agent receives no decision-making support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

C2.8/5.0
Disambiguation5/5

The two tools have clearly distinct purposes: one converts a document into a spec, the other validates an existing spec. There is no overlap or ambiguity between them.

Naming Consistency5/5

Both tools follow the consistent pattern 'spec_' + verb (convert, validate). The naming is uniform and predictable.

Tool Count4/5

With only 2 tools, the server is on the lower end of the scale, but the scope is very focused on spec conversion and validation, making the count reasonable though slightly thin.

Completeness4/5

The tools cover the core workflow of converting a document to a spec and then validating it. Minor gaps like batch operations or spec comparison exist, but they are not obvious dead ends for the apparent purpose.